Alterations in the innate and adaptive immune system in a real-world cohort of multiple sclerosis patients treated with ocrelizumab

B cell depletion by the anti-CD20 antibody ocrelizumab is effective in relapsing-remitting (RR) and primary progressive (PP) multiple sclerosis (MS). We investigated immunological changes in peripheral blood of a real-world MS cohort after 6 and 12 months of ocrelizumab. All RRMS and most PPMS patients (15/20) showed treatment response. Ocrelizumab not only reduced CD20+ B cells, but also numbers of CD20+ T cells. Absolute numbers of monocytes, dendritic cells and CD8+ T cells were increased, while CD56hi natural killer cells were reduced after ocrelizumab. The residual B cell population shifted towards transitional and activated, IgA+ switched memory B cells, double negative B cells, and antibody-secreting cells. Delaying the treatment interval by 2-3 months increased mean B cell frequencies and enhanced naive B cell repopulation. Ocrelizumab reduced plasma levels of interleukin(IL)-12p70 and interferon(IFN)-α2. These findings will contribute to understanding ineffective treatment responses, dealing with life-threatening infections and further unravelling MS pathogenesis.

Panel Design and Optimization for Full Spectrum Flow Cytometry

Technological advancements in fluorescence flow cytometry and an ever-expanding understanding of the complexity of the immune system have led to the development of large flow cytometry panels, reaching up to 40 markers at the single-cell level. Full spectrum flow cytometry, which measures the full emission range of all the fluorophores present in the panel instead of only the emission peaks, is now routinely used in laboratories around the world, and the demand for this technology is rapidly increasing. With the ability to use larger and more complex staining panels, optimized protocols are vital for achieving the best panel design, panel optimization, and high-dimensional data analysis outcomes. In addition, a better understanding of how to fully characterize the autofluorescence of the sample, coupled with an intelligent panel design approach, allows improved marker resolution on highly autofluorescent tissues or cells. Here, we provide optimized step-by-step protocols for full spectrum flow cytometry, covering panel design and optimization, autofluorescence evaluation and strategy selection, and methods for performing longitudinal studies.

30-color full spectrum flow cytometry panel for deep immunophenotyping of T cell subsets in murine tumor tissue

This 30-color full spectrum flow cytometry panel was developed and optimized for in-depth analysis T cells immunophenotype in tumor microenvironment and peripheral lymphoid organs. The panel presented here first identify the main cell subsets including myeloid cells, B cells, NKT cells, γδ T cells, CD4⁺ T cells and CD8⁺ T cells. For CD4⁺ T cells or CD8⁺ T cells, the panel includes markers for further characterization by including a selection of activation status(CD44, CD62L, CD69, Ki67, CD127, KLRG1 and CXCR3), costimulatory/co-inhibitory molecules (ICOS, OX-40, PD-1, LAG3, TIM-3, CTLA-4 and TIGIT), pro-inflammatory/anti-inflammatory cytokines (IFN-γ, TNF-α and IL-10) and cytotoxic molecules (Perforin, Granzymes B and CD107a). The panel has been tested on the tumor infiltrating T cells and corresponding spleen T cells in B16-F10 murine melanoma models.

Principles of Advanced Flow Cytometry: A Practical Guide

Recent advances have revolutionized the oldest high-throughput single-cell analytical tool, flow cytometry. Fluorescent analyzers and sorters with up to seven lasers and the potential to detect up to 50 parameters are changing the way flow cytometry is used, but old school practices which are inadequate for new technologies remain alive. This chapter summarizes recent advances, explains the most salient new features and offers a step-by-step guide to develop and successfully execute high-dimensional fluorescent flow cytometry experiments.