Unknown

Dataset Information

0

Repopulation of T, B, and NK cells following alemtuzumab treatment in relapsing-remitting multiple sclerosis.


ABSTRACT: OBJECTIVE:To characterize long-term repopulation of peripheral immune cells following alemtuzumab-induced lymphopenia in relapsing-remitting MS (RRMS), with a focus on regulatory cell types, and to explore associations with clinical outcome measures. METHODS:The project was designed as a multicenter add-on longitudinal mechanistic study for RRMS patients enrolled in CARE-MS II, CARE-MS II extension at the University of Southern California and Stanford University, and an investigator-initiated study conducted at the Universities of British Columbia and Chicago. Methods involved collection of blood at baseline, prior to alemtuzumab administration, and at months 5, 11, 17, 23, 36, and 48 post-treatment. T cell, B cell, and natural killer (NK) cell subsets, chemokine receptor expression in T cells, in vitro cytokine secretion patterns, and regulatory T cell (Treg) function were assessed. Clinical outcomes, including expanded disability status score (EDSS), relapses, conventional magnetic resonance imaging (MRI) measures, and incidents of secondary autoimmunity were tracked. RESULTS:Variable shifts in lymphocyte populations occurred over time in favor of CD4+ T cells, B cells, and NK cells with surface phenotypes characteristic of regulatory subsets, accompanied by reduced ratios of effector to regulatory cell types. Evidence of increased Treg competence was observed after each treatment course. CD4+ and CD8+ T cells that express CXCR3 and CCR5 and CD8+ T cells that express CDR3 and CCR4 were also enriched after treatment, indicating heightened trafficking potential in activated T cells. Patterns of repopulation were not associated with measures of clinical efficacy or secondary autoimmunity, but exploratory analyses using a random generalized estimating equation (GEE) Poisson model provide preliminary evidence of associations between pro-inflammatory cell types and increased risk for gadolinium (Gd+) enhancing lesions, while regulatory subsets were associated with reduced risk. In addition, the risk for T2 lesions correlated with increases in CD3+CD8+CXCR3+ cells. CONCLUSIONS:Lymphocyte repopulation after alemtuzumab treatment favors regulatory subsets in the T cell, B cell, and NK cell compartments. Clinical efficacy may reflect the sum of interactions among them, leading to control of potentially pathogenic effector cell types. Several immune measures were identified as possible biomarkers of lesion activity. Future studies are necessary to more precisely define regulatory and effector subsets and their contributions to clinical efficacy and risk for secondary autoimmunity in alemtuzumab-treated patients, and to reveal new insights into mechanisms of immunopathogenesis in MS. TRIAL REGISTRATION:Parent trials for this study are registered with ClinicalTrials.gov: CARE-MS II: NCT00548405, CARE-MS II extension: NCT00930553 and ISS: NCT01307332.

SUBMITTER: Gilmore W 

PROVIDER: S-EPMC7296935 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Repopulation of T, B, and NK cells following alemtuzumab treatment in relapsing-remitting multiple sclerosis.

Gilmore Wendy W   Lund Brett T BT   Li Peili P   Levy Alex M AM   Kelland Eve E EE   Akbari Omid O   Groshen Susan S   Cen Steven Yong SY   Pelletier Daniel D   Weiner Leslie P LP   Javed Adil A   Dunn Jeffrey E JE   Traboulsee Anthony L AL  

Journal of neuroinflammation 20200615 1


<h4>Objective</h4>To characterize long-term repopulation of peripheral immune cells following alemtuzumab-induced lymphopenia in relapsing-remitting MS (RRMS), with a focus on regulatory cell types, and to explore associations with clinical outcome measures.<h4>Methods</h4>The project was designed as a multicenter add-on longitudinal mechanistic study for RRMS patients enrolled in CARE-MS II, CARE-MS II extension at the University of Southern California and Stanford University, and an investigat  ...[more]

Similar Datasets

| S-EPMC8581537 | biostudies-literature
| S-EPMC4361497 | biostudies-literature
| S-EPMC3593763 | biostudies-literature
| S-EPMC3807733 | biostudies-literature
| S-EPMC7750777 | biostudies-literature
| S-EPMC5794695 | biostudies-other
| S-EPMC3699254 | biostudies-other
| S-EPMC7841472 | biostudies-literature
| S-EPMC2276246 | biostudies-literature
| S-EPMC4386431 | biostudies-literature