Development of a High-Color Flow Cytometry Panel for Immunologic Analysis of Tissue Injury and Reconstruction in a Rat Model

Eosinophils Respond to Extracellular Matrix Treated Muscle Injuries but are Not Required for Macrophage Polarization

The immune response to decellularized extracellular matrix (ECM) muscle injury is characterized by Th2 T cells, Tregs, M2-like macrophages, and an abundance of eosinophils. Eosinophils have previously been described as mediators of muscle regeneration but inhibit skin wound healing. In addition to response to wounding, a large number of eosinophils respond to biomaterial-treated muscle injury, specifically in response to decellularized ECM. ECM treatment of muscle wounds has been associated with positive outcomes in tissue regeneration, but the detailed mechanisms of action are still being evaluated. Here, this work investigates the role of these eosinophils in terms of their immunologic phenotype and subsequent effect on the local tissue microenvironment. These cells have a mixed phenotype showing both type-2 and regulatory gene upregulation and but are not required for macrophage polarization. Beyond the local tissue, ECM treatment is seen to induce a transient flux of eosinophils to the lungs but prevented a trauma-associated neutrophilia in the lungs of injured mice. This work believes this local and systemic immunomodulation contributes to the regenerative effects of the material and such distal tissue effects should be considered in therapeutic design and implementation.

Design, optimisation and standardisation of a high-dimensional spectral flow cytometry workflow assessing T-cell immunophenotype in patients with melanoma

Objectives

Despite the success of immune checkpoint blockade, most metastatic melanoma patients fail to respond to therapy or experience severe toxicity. Assessment of biomarkers and immunophenotypes before or early into treatment will help to understand favourable responses and improve therapeutic outcomes.

Methods

We present a high-dimensional approach for blood T-cell profiling using three multi-parameter cytometry panels: (1) a TruCount panel for absolute cell counts, (2) a 27-colour spectral panel assessing T-cell markers and (3) a 20-colour spectral panel evaluating intracellular cytokine expression. Pre-treatment blood mononuclear cells from patients and healthy controls were cryopreserved before staining across 11 batches. Batch effects were tracked using a single-donor control and the suitability of normalisation was assessed. The data were analysed using manual gating and high-dimensional strategies.

Results

Batch-to-batch variation was minimal, as demonstrated by the dimensionality reduction of batch-control samples, and normalisation did not improve manual or high-dimensional analysis. Application of the workflow demonstrated the capacity of the panels and showed that patients had fewer lymphocytes than controls (P = 0.0027), due to lower naive CD4+ (P = 0.015) and CD8+ (P = 0.011) T cells and follicular helper T cells (P = 0.00076). Patients showed trends for higher proportions of Ki67 and IL-2-expressing cells within CD4+ and CD8+ memory subsets, and increased CD57 and EOMES expression within TCRγδ+ T cells.

Conclusion

Our optimised high-parameter spectral cytometry approach provided in-depth profiling of blood T cells and found differences in patient immunophenotype at baseline. The robustness of our workflow, as demonstrated by minimal batch effects, makes this approach highly suitable for the longitudinal evaluation of immunotherapy effects.