High-dimensional Single-cell Mass Research Articles

MO074TILVESTAMAB, A FUNCTION-BLOCKING MONOCLONAL ANTIBODY INHIBITOR OF AXL RTK SIGNALLING, LIMITS THE ONSET OF RENAL FIBROTIC CHANGES IN HUMAN KIDNEYS EX VIVO

Abstract Background and Aims Interstitial fibrosis, characterised by the accumulation of extracellular matrix in the cortical interstitium, is directly correlated with progressive chronic kidney disease secondary to inflammatory, immunologic, obstructive or metabolic causes. An invariant histologic marker of this progression is the accumulation of fibroblasts, with the phenotypic appearance of activated myofibroblasts expressing alpha smooth muscle actin (αSMA) within intracellular contractile stress fibres. Once present, these myofibroblasts are prognostic indicators of expansion of fibrotic matrix and progressive tubular atrophy, leading towards end-stage disease. The Receptor Tyrosine Kinase AXL is involved in a range of kidney pathologies, with increased activity associated with Epithelial to Mesenchymal Transition (EMT) and tubular proliferation following podocyte loss. In mice treated with an angiotensin-converting enzyme (ACE) inhibitor, enhancement of AXL expression is localised to tubular segments within the medulla and there is evidence of parallel regulatory control of ACE and AXL. We have demonstrated enhanced expression of AXL and the mesenchymal marker, vimentin in diseased human kidney tissue secondary to diabetes or hypertension. Targeting AXL with a small-molecule inhibitor has previously been reported to attenuate fibrosis and reduce inflammation in the unilateral ureteric-outflow obstruction (UUO) model of kidney fibrosis in mice (Landolt et al., 2019). Tilvestamab is a novel function blocking humanized anti-AXL antibody. Tilvestamab blocks GAS6-mediated AXL receptor activation in fibroblasts and renal tubule epithelial cells and mediates AXL receptor internalization and degradation. In this study we aimed to further characterise AXL as a target in CKD and to investigate anti-fibrotic efficacy of tilvestamab. Method Eight weeks old male C57BL/6 mice underwent UUO operation. After 15 days, kidneys were dissociated and stained with a high dimensional single cell mass cytometry 33 markers antibody panel. Data were analysed using JMP Genomics (v.8.2). Precision Cut Kidney Slices (PCKSs) from explanted human kidney tissue were propagated in a bioreactor (Paish et al., 2019, FibroFind, UK). PCKS were incubated for 72hrs in the presence of investigational drugs. Secreted collagen1a1 were quantified by ELISA. RNA was reverse transcribed to cDNA and used in qPCRs to measure Col1a1 and αSMA. FFPE sections were stained for αSMA. High magnification images were taken of each slide and analysed for surface area covered by the stain. Results Expression pattern of AXL during development of kidney fibrosis in the UUO model was investigated using a mass cytometry antibody panel designed for identifying subpopulations of immune cells as well as cell populations of the fibrotic stroma. Two predominant cell populations were affected by ligation; the mesenchymal and the immune island. AXL was a marker characterising several of the key populations that expanded upon ligation supporting a role for AXL in kidney fibrosis pathogenesis. In an ex vivo model of human PCKS, tilvestamab dose-dependently reduced the levels of αSMA. When combined with the lower of two doses of the ACE inhibitor enalapril, the lowest dose of tilvestamab synergized to reduce αSMA levels further as well as reducing secreted Collagen 1a1. Conclusion AXL expression is induced in key cell populations during development of kidney fibrosis supporting AXL as a novel target in CKD. Tilvestamab represents a promising strategy for the pharmacologic intervention of kidney fibrosis, and the potential synergy with current reno-protective therapies warrants further exploration.

High-dimensional single cell mass cytometry analysis of the murine hematopoietic system reveals signatures induced by ageing and physiological pathogen challenges

BackgroundImmune ageing is a result of repetitive microbial challenges along with cell intrinsic or systemic changes occurring during ageing. Mice under ‘specific-pathogen-free’ (SPF) conditions are frequently used to assess immune ageing in long-term experiments. However, physiological pathogenic challenges are reduced in SPF mice. The question arises to what extent murine experiments performed under SPF conditions are suited to analyze immune ageing in mice and serve as models for human immune ageing. Our previous comparisons of same aged mice with different microbial exposures, unambiguously identified distinct clusters of immune cells characteristic for numerous previous pathogen encounters in particular in pet shop mice.ResultsWe here performed single cell mass cytometry assessing splenic as secondary and bone marrow as primary lymphoid organ-derived leukocytes isolated from young versus aged SPF mice in order to delineate alterations of the murine hematopoietic system induced during ageing. We then compared immune clusters from young and aged SPF mice to pet shop mice in order to delineate alterations of the murine hematopoietic system induced by physiological pathogenic challenges and those caused by cell intrinsic or systemic changes during ageing. Notably, distinct immune signatures were similarly altered in both pet shop and aged SPF mice in comparison to young SPF mice, including increased frequencies of memory T lymphocytes, effector-cytokine producing T cells, plasma cells and mature NK cells. However, elevated frequencies of CD4+ T cells, total NK cells, granulocytes, pDCs, cDCs and decreased frequencies of naïve B cells were specifically identified only in pet shop mice. In aged SPF mice specifically the frequencies of splenic IgM+ plasma cells, CD8+ T cells and CD4+ CD25+ Treg were increased as compared to pet shop mice and young mice.ConclusionsOur study dissects firstly how ageing impacts both innate and adaptive immune cells in primary and secondary lymphoid organs. Secondly, it partly distinguishes murine intrinsic immune ageing alterations from those induced by physiological pathogen challenges highlighting the importance of designing mouse models for their use in preclinical research including vaccines and immunotherapies.

Abstract 566: High dimensional single cell analysis predicts response to anti-PD-1 immunotherapy

Abstract Checkpoint inhibition of programmed cell death protein 1 (PD-1) has revolutionized cancer therapy. As more and more patients with metastatic melanoma but also other cancers show a dramatic increase in progression-free survival, still a large proportion of patients do not show durable response. As options for monotherapies, as well as combination immunotherapies, increase in the clinics, predictive biomarkers of clinical response are urgently needed. We employed high-dimensional single cell mass cytometry and a machine-learning bioinformatics pipeline for the in-depth characterization of all immune cells in the peripheral blood of stage IV melanoma patients before and at 12 weeks of anti-PD-1 immunotherapy. We observed a clear treatment response of patients under immunotherapy. However, a strong predictor of progression free and overall survival in response to anti-PD-1 immunotherapy before therapy was the frequency of CD14+CD16-HLA-DRhi monocytes. We could confirm this by conventional flow cytometry in an independent, blinded validation cohort and propose this as a novel predictive biomarker for therapy decisions in the clinic. We further present a high dimensional analysis workflow to analyze predictive and prognostic immune biomarkers during future clinical trials. Citation Format: Carsten Krieg, Malgorzata Nowicka, Silvia Guglietta, Sabrina Schindler, Felix J. Hartmann, Lukas M. Weber, Reinhard Dummer, Mark D. Robinson, Mitchell P. Levesque, Burkhard Becher. High dimensional single cell analysis predicts response to anti-PD-1 immunotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 566.