Elisabetta Pagani

The choroid plexus (ChP) regulates CSF production and CNS homeostasis. In multiple sclerosis (MS), ChP enlargement occurs early in the disease course, yet its normative lifespan trajectory and relationship with MS-specific features remain poorly defined. We aimed to define the normative ChP volume model, to characterize its trajectory across the healthy lifespan, and to assess ChP enlargement in MS using z-scores, evaluating associations with demographic, clinical, MRI, and genetic variables, including human leukocyte antigen (HLA) and non-HLA polygenic risk scores (PRSs). This monocentric retrospective cross-sectional study included 461 healthy controls (HCs) and 727 patients with MS (age 18–70 years) who underwent 3T brain MRI and neurologic assessment. ChP volumes were quantified using ASCHOPLEX, normalized for head size, and modeled in HCs. We derived age-related normalized ChP volume (NChPV) trajectory across adulthood. Z-scores for patients with MS were computed. PRSs were calculated from established MS susceptibility loci, encompassing both HLA and non-HLA regions. In HCs, normalized brain volume, lateral ventricle volume, and its squared term were independently associated with NChPV (R² = 0.54). Model-derived NChPV trajectory remained stable until age 35 and then increased nonlinearly (p-FDR−2, p = 0.957). In cross-sectional analyses, NChPV z-scores, already elevated 1 year after disease onset (EM z-scores = 0.252, p-FDR−2, p < 0.001) and HLA genetic burden (standardized β = 0.097, p = 0.038), but not non-HLA PRSs (p ≥ 0.177). We provided a normative ChP volume model, characterized its trajectory across the healthy lifespan, and showed early, consistently higher ChP volume in patients with MS across ages and disease durations in cross-sectional analyses, linked to inflammatory lesion burden and HLA-mediated genetic risk. The ChP may represent a noninvasive biomarker of neuroinflammation and HLA-related immunogenetic background in MS.

The choroid plexus (CP) regulates immune functions and produces most CSF that circulates in the brain parenchyma through perivascular spaces, part of the glymphatic system. In multiple sclerosis (MS), CP enlargement and glymphatic dysfunction are associated with inflammatory activity, clinical disability, and brain damage, but their interrelation is unclear. We investigated whether glymphatic system dysfunction mediates the association between CP enlargement and brain damage in patients with MS. Brain fluid-attenuated inversion recovery, 3-dimensional T1-weighted, diffusion-weighted, and susceptibility-weighted sequences were obtained from 146 patients with MS and 72 healthy controls (HC). Glymphatic function was assessed using the diffusion along the perivascular space (DTI-ALPS) index, and CP volume was measured automatically. Patients with MS showed significantly higher white matter (WM) lesion and CP volumes (p < 0.001), and lower DTI-ALPS index, brain, WM, thalamic, and cortical volumes than HC (p ≤ 0.048). In patients with MS, higher CP volume correlated with a lower DTI-ALPS index (r = -0.305, false discovery rate p value = 0.001). Both measures were associated with higher total, periventricular, and juxtacortical (JC) WM lesion volumes (CP volume: r from 0.285 to 0.340, p-FDR ≤ 0.001; DTI-ALPS index: r from -0.301 to -0.444, p ≤ 0.001), and lower brain, thalamic, cortical, and WM volumes (CP volume: r from -0.246 to -0.405, p-FDR ≤ 0.006; DTI-ALPS index: from 0.269 to 0.497, p-FDR ≤ 0.003). The DTI-ALPS index partially mediated the associations of normalized choroid plexus volume with total, periventricular, and JC T2-hyperintense WM lesion volumes (standardized-β ranging from 0.073 to 0.115, relative effect ranging from 25.2% to 33.6%) and normalized brain, thalamic, cortical, and WM volumes (standardized-β ranging from -0.086 to -0.125, relative effect ranging from 25.3% to 52.7%). In MS, enlarged normalized CP volume may contribute to brain damage accumulation possibly through the promotion of a chronic proinflammatory state and the mediation of glymphatic system dysfunction.

A CSF-in gradient in cortical and thalamic gray matter (GM) damage has been found in multiple sclerosis (MS). We concomitantly explored the patterns of cortical, thalamic, and caudate microstructural abnormalities at progressive distances from CSF using a multiparametric MRI approach. For this cross-sectional study, from 3T 3D T1-weighted scans, we sampled cortical layers at 25%-50%-75% depths from pial surface and thalamic and caudate bands at 2-3-4 voxels from the ventricular-GM interface. Using linear mixed models, we tested between-group comparisons of magnetization transfer ratio (MTR) and R2* layer-specific z-scores, CSF-in across-layer z-score changes, and their correlations with clinical (disease duration and disability) and structural (focal lesions, brain, and choroid plexus volume) MRI measures. We enrolled 52 patients with MS (33 relapsing-remitting [RRMS], 19 progressive [PMS], mean age: 46.4 years, median disease duration: 15.1 years, median: EDSS 2.0) and 70 controls (mean age 41.5 ± 12.8). Compared with controls, RRMS showed lower MTR values in the outer and middle cortical layers (false-discovery rate [FDR]-p ≤ 0.025) and lower R2* values in all 3 cortical layers (FDR-p ≤ 0.016). PMS had lower MTR values in the outer and middle cortical (FDR-p ≤ 0.016) and thalamic (FDR-p ≤ 0.048) layers, and in the outer caudate layer (FDR-p = 0.024). They showed lower R2* values in the outer cortical layer (FDR-p = 0.003) and in the outer thalamic layer (FDR-p = 0.046) and higher R2* values in all 3 caudate layers (FDR-p ≤ 0.031). Both RRMS and PMS had a gradient of damage, with lower values closer to the CSF, for cortical (FDR-p ≤ 0.002) and thalamic (FDR-p ≤ 0.042) MTR. PMS showed a gradient of damage for cortical R2* (FDR-p = 0.005), thalamic R2* (FDR-p = 0.004), and caudate MTR (FDR-p ≤ 0.013). Lower MTR and R2* of outer cortical, thalamic, and caudate layers and steeper gradient of damage toward the CSF were significantly associated with older age, higher T2-hyperintense white matter lesion volume, higher thalamic lesion volume, and lower brain volume (β ≥ 0.08, all FDR-p ≤ 0.040). Lower MTR of outer caudate layer was associated with more severe disability (β = -0.26, FDR-p = 0.040). No correlations with choroid plexus volume were found. CSF-in damage gradients are heterogeneous among different GM regions and through MS course, possibly reflecting different dynamics of demyelination and iron loss/accumulation.

Chronic inflammation may contribute to cognitive dysfunction and fatigue in patients with multiple sclerosis (MS). Paramagnetic rim lesions (PRLs) and choroid plexus (CP) enlargement have been proposed as markers of chronic inflammation in MS being associated with a more severe disease course. However, their relation with cognitive impairment and fatigue has not been fully explored yet. Here, we investigated the contribution of PRL number and volume and CP enlargement to cognitive impairment and fatigue in patients with MS. Brain 3T MRI, neurologic evaluation, and neuropsychological assessment, including the Brief Repeatable Battery of Neuropsychological Tests and Modified Fatigue Impact Scale, were obtained from 129 patients with MS and 73 age-matched and sex-matched healthy controls (HC). PRLs were identified on phase images of susceptibility-weighted imaging, whereas CP volume was quantified using a fully automatic method on brain three-dimensional T1-weighted and fluid-attenuated inversion recovery MRI sequences. Predictors of cognitive impairment and fatigue were identified using random forest. Thirty-six (27.9%) patients with MS were cognitively impaired, and 31/113 (27.4%) patients had fatigue. Fifty-nine (45.7%) patients with MS had ≥1 PRLs (median = 0, interquartile range = 0;2). Compared with HC, patients with MS showed significantly higher T2-hyperintense white matter lesion (WM) volume; lower normalized brain, thalamic, hippocampal, caudate, cortical, and WM volumes; and higher normalized CP volume (p from <0.001 to 0.040). The predictors of cognitive impairment (relative importance) (out-of-bag area under the curve [OOB-AUC] = 0.707) were normalized brain volume (100%), normalized caudate volume (89.1%), normalized CP volume (80.3%), normalized cortical volume (70.3%), number (67.3%) and volume (66.7%) of PRLs, and T2-hyperintense WM lesion volume (64.0%). Normalized CP volume was the only predictor of the presence of fatigue (OOB-AUC = 0.563). Chronic inflammation, with higher number and volume of PRLs and enlarged CP, may contribute to cognitive impairment in MS in addition to gray matter atrophy. The contribution of enlarged CP in explaining fatigue supports the relevance of immune-related processes in determining this manifestation independently of disease severity. PRLs and CP enlargement may contribute to the pathophysiology of cognitive impairment and fatigue in MS, and they may represent clinically relevant therapeutic targets to limit the impact of these clinical manifestations in MS.

BACKGROUND AND PURPOSE: Thalamic atrophy occurs from the earliest phases of MS; however, this measure is not included in clinical practice. Our purpose was to obtain a reliable segmentation of the thalamus in MS by comparing existing automatic methods cross-sectionally and longitudinally. MATERIALS AND METHODS: MR images of 141 patients with relapsing-remitting MS (mean age, 38 years; range, 19–58 years; 95 women) and 69 healthy controls (mean age, 36 years; range, 22–69 years; 47 women) were retrieved from the Italian Neuroimaging Network Initiative repository: T1WI, T2WI, and DWI at baseline and after 1 year (136 patients, 31 healthy controls). Three segmentation software programs (FSL-FIRST, FSL-MIST, FreeSurfer) were compared. At baseline, agreement among pipelines, correlations with age, disease duration, clinical score, and T2-hyperintense lesion volume were evaluated. Effect sizes in differentiating patients and controls were assessed cross-sectionally and longitudinally. Variability of longitudinal changes in controls and sample sizes were assessed. False discovery rate–adjusted P < .05 was considered significant. RESULTS: At baseline, FSL-FIRST and FSL-MIST showed the highest agreement in the results of thalamic volume (R = 0.87, P < .001), with the highest effect size for FSL-MIST (Cohen d = 1.11); correlations with demographic and clinical variables were comparable for all software. Longitudinally, FSL-MIST showed the lowest variability in estimating thalamic volume changes for healthy controls (SD = 1.07%), the highest effect size (Cohen d = 0.44), and the smallest sample size at 80% power level (15 subjects per group). CONCLUSIONS: Multimodal segmentation by FSL-MIST increased the robustness of the results with better capability to detect small variations in thalamic volumes.

Objective Brain lesions in aquaporin-4-antibody-positive neuromyelitis optica spectrum disorder (AQP4+NMOSD) occur at areas of high AQP4 expression. However, the pathophysiological cascade requires additional factors such as complement. We sought to investigate the spatial association between brain damage and gene expression in AQP4+NMOSD. Methods In this multicenter cross-sectional study, we enrolled 90 patients and 94 age-matched healthy controls who underwent a 3.0/1.5 T brain MRI. In patients, brain damage was assessed through (i) T2-hyperintense lesion probability maps, (ii) white matter (WM) and grey matter (GM) atrophy on 3D T1-weighted sequences, and (iii) WM microstructural abnormalities on diffusion-tensor imaging. The association between imaging maps and the expression of 266 candidate genes in the Allen Human Brain Atlas was obtained and overrepresented biological processes were investigated with a functional-enrichment analysis. Results In AQP4+NMOSD, T2-hyperintense lesions were mainly located in the periventricular WM. GM and WM atrophy involved the visual pathway, while WM microstructural abnormalities were represented by a widespread increase of mean diffusivity. The expression of AQP4, C4a and C5 elements of complement resulted associated with all types of brain damage. Complement activation and the regulation and uptake of insulin-like growth factor were the most relevant enriched pathways. Non-specific pathways related to DNA synthesis and repair were associated with brain atrophy. Interpretation A joint application of quantitative MRI and gene expression atlas can identify in vivo the key elements of AQP4+NMOSD pathophysiology. This may pave the way to a novel type of imaging analysis helpful in understanding the pathophysiology of antibody-mediated autoimmune disorders.

MRI plays a central role in the diagnosis of multiple sclerosis (MS) and in the monitoring of disease course and treatment response. Advanced MRI techniques have shed light on MS biology and facilitated the search for neuroimaging markers that may be applicable in clinical practice. MRI has led to improvements in the accuracy of MS diagnosis and a deeper understanding of disease progression. This has also resulted in a plethora of potential MRI markers, the importance and validity of which remain to be proven. Here, five recent emerging perspectives arising from the use of MRI in MS, from pathophysiology to clinical application, will be discussed. These are the feasibility of noninvasive MRI-based approaches to measure glymphatic function and its impairment; T1-weighted to T2-weighted intensity ratio to quantify myelin content; classification of MS phenotypes based on their MRI features rather than on their clinical features; clinical relevance of gray matter atrophy versus white matter atrophy; and time-varying versus static resting-state functional connectivity in evaluating brain functional organization. These topics are critically discussed, which may guide future applications in the field.

Background: We aimed to describe the severity of the changes in brain diffusion-based connectivity as multiple sclerosis (MS) progresses and the microstructural characteristics of these networks that are associated with distinct MS phenotypes. Methods: Clinical information and brain magnetic resonance images were collected from 221 healthy individuals and 823 people with MS at eight MAGNIMS centers. The patients were divided into four clinical phenotypes: clinically isolated syndrome, relapsing-remitting, secondary-progressive, and primary-progressive. Advanced tractography methods were used to obtain connectivity matrices. Then, differences in whole-brain and nodal graph-derived measures, and in the fractional anisotropy of connections between groups were analyzed. Support vector machine algorithms were used to classify groups. Results: Clinically isolated syndrome and relapsing-remitting patients shared similar network changes relative to controls. However, most global and local network properties differed in secondary progressive patients compared with the other groups, with lower fractional anisotropy in most connections. Primary progressive participants had fewer differences in global and local graph measures compared to clinically isolated syndrome and relapsing-remitting patients, and reductions in fractional anisotropy were only evident for a few connections. The accuracy of support vector machine to discriminate patients from healthy controls based on connection was 81%, and ranged between 64% and 74% in distinguishing among the clinical phenotypes. Conclusions: In conclusion, brain connectivity is disrupted in MS and has differential patterns according to the phenotype. Secondary progressive is associated with more widespread changes in connectivity. Additionally, classification tasks can distinguish between MS types, with subcortical connections being the most important factor. What is already known on this topic: MS is a neurodegenerative disease characterized by inflammation and demyelination in the central nervous system, leading to disrupted neural connections and varying clinical phenotypes. Diffusion-based MRI techniques and graph theory can be used to study microstructural changes and brain network alterations in MS patients across different phenotypes. What this study adds: The study highlights distinct patterns of brain connectivity disruptions associated with different MS phenotypes, particularly revealing more widespread changes in connectivity for secondary-progressive MS. It demonstrates the effectiveness of support vector machine algorithms in classifying patients from healthy controls (81% accuracy) and distinguishing among clinical phenotypes (64% to 74% accuracy) based on brain connectivity patterns. The study emphasizes the importance of subcortical connections as a key factor in differentiating MS types, providing valuable insights into the underlying neural mechanisms related to MS phenotypes. How this study might affect research, practice or policy: This study might affect research, practice, or policy by providing a better understanding of the differential patterns of brain connectivity disruptions across MS phenotypes, which can guide the development of more accurate diagnostic and prognostic tools, leading to improved personalized treatment and management strategies for people with multiple sclerosis.

In this study, we investigated whether regional distribution of white matter (WM) lesions, normal-appearing [NA] WM microstructural abnormalities and gray matter (GM) atrophy may differently contribute to cognitive performance in multiple sclerosis (MS) patients according to sex. Using the same scanner, brain 3.0T MRI was acquired for 287 MS patients (females = 173; mean age = 42.1 [standard deviation, SD = 12.7] years; relapsing-remitting = 196, progressive = 91; median Expanded Disability Status Scale = 2.5 [interquartile range, IQR = 1.5–5.0]; median disease duration = 12.1 [IQR = 6.3–19.0] years; treatment: none = 70, first-line = 130, second-line = 87) and 172 healthy controls (HC) (females = 92; mean age = 39.3 [SD = 14.8] years). MS patients underwent also Rao’s neuropsychological battery. Using voxel-wise analyses, we investigated in patients sex-related differences in the association of cognitive performances with WM lesions, NAWM fractional anisotropy (FA) and GM volumes (p < 0.01, family-wise error [FWE]). Sixty-six female (38%) and 48 male (42%) MS patients were cognitively impaired, with no significant between-group difference (p = 0.704). However, verbal memory performance was worse in males (p = 0.001), whereas verbal fluency performance was worse in females (p = 0.004). In both sexes, a higher T2-hyperintense lesion prevalence in cognitively-relevant WM tracts was significantly associated with worse cognitive performance (p ≤ 0.006), with stronger associations in females than males in global cognition (p ≤ 0.004). Compared to sex-matched HC, male and female MS patients had widespread lower NAWM FA and GM volume (p < 0.01). In both sexes, worse cognitive performance was associated with widespread reduced NAWM FA (p < 0.01), with stronger associations in females than males in global cognition and verbal memory (p ≤ 0.009). Worse cognitive performance was significantly associated with clusters of cortical GM atrophy in males (p ≤ 0.007) and mainly with deep GM atrophy in females (p ≤ 0.006). In this study, only limited differences in cognitive performances were found between male and female MS patients. A disconnection syndrome due to focal WM lesions and diffuse NAWM microstructural abnormalities seems to be more relevant in female MS patients to explain cognitive impairment.

Innovative pro-regenerative treatment strategies for progressive multiple sclerosis (PMS), combining neuroprotection and immunomodulation, represent an unmet need. Neural precursor cells (NPCs) transplanted in animal models of multiple sclerosis have shown preclinical efficacy by promoting neuroprotection and remyelination by releasing molecules sustaining trophic support and neural plasticity. Here we present the results of STEMS, a prospective, therapeutic exploratory, non-randomized, open-label, single-dose-finding phase 1 clinical trial (NCT03269071, EudraCT 2016-002020-86), performed at San Raffaele Hospital in Milan, Italy, evaluating the feasibility, safety and tolerability of intrathecally transplanted human fetal NPCs (hfNPCs) in 12 patients with PMS (with evidence of disease progression, Expanded Disability Status Scale ≥6.5, age 18–55 years, disease duration 2–20 years, without any alternative approved therapy). The safety primary outcome was reached, with no severe adverse reactions related tohfNPCs at 2-year follow-up, clearly demonstrating thathfNPC therapy in PMS is feasible, safe and tolerable. Exploratory secondary analyses showed a lower rate of brain atrophy in patients receiving the highest dosage ofhfNPCs and increased cerebrospinal fluid levels of anti-inflammatory and neuroprotective molecules. Although preliminary, these results support the rationale and value of future clinical studies with the highest dose ofhfNPCs in a larger cohort of patients.