Hematogenous macrophages are known to be involved in the induction of tissue damage in the central nervous system (CNS) as well as of clinical symptoms in experimental autoimmune encephalomyelitis (EAE). Although resident microglia can become phagocytic under certain circumstances, little is known about the role of these cells in brain inflammation in vivo. We thus studied EAE in the model of radiation bone marrow chimeras that allows us to distinguish donor-derived hematogenous cells from resident effector cells. Inflammation in the CNS was qualitatively and quantitatively similar in chimeras compared to fully histocompatible Lewis rats. Although activated resident microglial cells were outnumbered four- to sevenfold in EAE lesions by hematogenous macrophages, the number of resident microglia with ingested myelin was equal to that of macrophages containing myelin debris. Phagocytic resident microglia, expressing the macrophage activation marker ED1, showed ramified as well as amoeboid morphology. From our studies the following conclusions can be drawn. First, a considerable proportion of resident microglia upregulated ED1. Second, resident microglia provide a small but substantial source of brain macrophages in EAE as compared to the large influx of macrophages. Third, our results suggest that microglia, due to their strategic position within the CNS, are more effective in removal of myelin debris compared to hematogenous macrophages.
Objective
The study was undertaken to assess the impact of B cell depletion on humoral and cellular immune responses to severe acute respiratory syndrome‐coronavirus 2 (SARS‐CoV‐2) vaccination in patients with various neuroimmunologic disorders on anti‐CD20 therapy. This included an analysis of the T cell vaccine response to the SARS‐CoV‐2 Delta variant.
Methods
We investigated prospectively humoral and cellular responses to SARS‐CoV‐2 mRNA vaccination in 82 patients with neuroimmunologic disorders on anti‐CD20 therapy and 82 age‐ and sex‐matched healthy controls. For quantification of antibodies, the Elecsys anti‐SARS‐CoV‐2 viral spike (S) immunoassay against the receptor‐binding domain (RBD) was used. IFN‐gamma enzyme‐linked immunosorbent spot assays were performed to assess T cell responses against the SARS‐CoV‐2 Wuhan strain and the Delta variant.
Results
SARS‐CoV‐2‐specific antibodies were found less frequently in patients (70% [57/82]) compared with controls (82/82 [100%], p < 0.001). In patients without detectable B cells (<1 B cell/mcl), seroconversion rates and antibody levels were lower compared to nondepleted (≥1 B cell/mcl) patients (p < 0.001). B cell levels ≥1 cell/mcl were sufficient to induce seroconversion in our cohort of anti‐CD20 treated patients. In contrast to the antibody response, the T‐cell response against the Wuhan strain and the Delta variant was more pronounced in frequency (p < 0.05) and magnitude (p < 0.01) in B‐cell depleted compared to nondepleted patients.
Interpretation
Antibody responses to SARS‐CoV‐2 mRNA vaccinnation can be attained in patients on anti‐CD20 therapy by the onset of B cell repopulation. In the absence of B cells, a strong T cell response is generated which may help to protect against severe coronavirus disease 2019 (COVID‐19) in this high‐risk population. ANN NEUROL 2022;91:342–352
Background and purpose
There is a lack of evidence guiding discontinuation of disease‐modifying therapy (DMT) in relapsing multiple sclerosis (RMS). Thus, the objective of this study was to generate and validate a risk score for disease reactivation after DMT discontinuation in RMS.
Methods
We drew a generation and validation dataset from two separate prospectively collected observational databases including RMS patients who received interferon‐β or glatiramer acetate for ≥12 months, then discontinued DMT for ≥6 months and had ≥2 years of follow‐up available. In the generation sample (n = 168), regression analysis was performed to identify clinical or magnetic resonance imaging (MRI) variables independently predicting disease reactivation after DMT discontinuation. A predictive score was calculated using the variables included in the multivariable model and applied to the validation sample (n = 98).
Results
The variables included in the final model as independent predictors of disease reactivation were age at discontinuation, MRI activity at discontinuation, and duration of clinical stability (all p < 0.001). The resulting score was able to robustly identify patients at high (83%–85%), moderate (36%–38%), and low risk (7%) of disease reactivation within 5 years after DMT discontinuation in both cohorts.
Conclusions
The composite VIAADISC score is a valuable tool to inform and support patients and neurologists in the process of decision making to discontinue injectable DMTs.
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