Characterization of Immune Cell Subset Expansion in Response to Therapeutic Treatment in Mice

Author(s):  
Jakub Tomala ◽  
Jamie B. Spangler
2014 ◽  
Author(s):  
Praveen C. Ashok ◽  
Bavishna B. Praveen ◽  
Elaine C. Campbell ◽  
Kishan Dholakia ◽  
Simon J. Powis

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Jordan R. Jones ◽  
Anne-Marie C. Overstreet ◽  
Antonia M. Boger-May ◽  
David L. Boone

Background and Hypothesis:  Inflammatory bowel disease (IBD) is a disabling, chronic gut disorder involving immune dysregulation. Our lab has generated a murine IBD model in which the innate immune system drives inflammation. Innate lymphoid cells (ILCs), an innate immune cell subset that was recently discovered, exhibit many T-helper cell characteristics. ILCs, though few, produce cytokines, thereby significantly impacting tissue through local action in mucosal sites. They express the cell surface markers, CD90, which is unique to ILCs, and CD45, which all leukocyte types express. Colitis prevention in our model via ILC depletion indicates a role for ILCs in IBD. Therefore, we aimed to identify the ILCs’ localization in our murine model. We hypothesized that the ILCs will localize to inflamed areas of the intestinal lamina propria and into the intraepithelial spaces.  Experimental Design or Project Methods:  Mice expressing TNFAIP3, an inhibitor of NF-kB, were mated with adaptive immunity-lacking mice (RAG1-/-). RAG1-/- x Villin-TNFAIP3 (TRAG) mice had colitis that was 100% penetrant by age 6 weeks. Distal colons excised at age 4 weeks and 8 weeks were used for identifying CD45+ and CD90+ cells in both RAG and TRAG mice intestines via immunofluorescence.  Results:  We observed differences in the distributions of CD90+ and CD45+ cells within TRAG and RAG mice intestines.  Conclusion and Potential Impact:  Differences exist in intestinal leukocyte distributions within our models. Altered ILC distribution might reflect an inflammatory state or contribute to IBD pathology. This work may further elucidate ILCs’ role in IBD and as IBD treatment targets.


2019 ◽  
Vol 60 (10) ◽  
pp. 2345-2347
Author(s):  
Jonathan Moreira ◽  
Leonidas C. Platanias ◽  
Kehinde U. A. Adekola

2019 ◽  
Author(s):  
Marie Colombe Agahozo ◽  
Mieke R. van Bockstal ◽  
Floris H. Groenendijk ◽  
Thierry P. van den Bosch ◽  
Pieter J. Westenend ◽  
...  

2014 ◽  
Vol 20 (4) ◽  
pp. 450-462 ◽  
Author(s):  
Peter J. Podgorny ◽  
Yiping Liu ◽  
Poonam Dharmani-Khan ◽  
Laura M. Pratt ◽  
Kareem Jamani ◽  
...  

Author(s):  
J.C. Jones ◽  
Z. Yao ◽  
S. Strober ◽  
S.J. Knox

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 65.2-65
Author(s):  
P. C. Taylor ◽  
J. Liu ◽  
L. Zhuo ◽  
Y. Tian ◽  
T. Snyder ◽  
...  

Background:Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease that affects 1% of the world’s population. Several key biological functions are dysregulated in RA, manifesting clinically as pain, fatigue, and synovitis, with articular destruction, organ-based comorbidities, and functional decline. Defining immune dysregulation in the peripheral blood of patients (pts) with RA will help inform future work to assess the extent to which immune homeostasis can be therapeutically achieved for these pts.Objectives:To identify baseline molecular characteristics of the peripheral immune system, at the level of individual immune cell subsets, in pts with RA recruited to clinical trials of the oral, selective Janus kinase 1 (JAK1) inhibitor, filgotinib.Methods:Peripheral blood mononuclear cells (PBMC) were collected from 324 pts with moderate to severely active RA, who had an inadequate response to methotrexate ([MTX], FINCH-1;NCT02889796; n=109) or who were MTX naïve (FINCH-3;NCT02886728; n=215). PBMC were also collected from 50 demographically matched healthy volunteers (HV). The Immune Profiler platform was used to sort PBMC into 24 immune cell subsets, then quantify their gene expression and chromatin accessibility using RNA-seq and the assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq), respectively. Differentially expressed genes (DEGs) and differentially accessible regions (DARs) were identified among immune cell subsets from pts with RA versus HV. Gene set signature scores of Molecular Signatures Database hallmark pathways were calculated using single sample gene set enrichment analysis (ssGSEA) to examine differences in pathway activity between groups.Results:A total of 14,500 sequencing datasets were generated from the pt and HV immune cell subsets. Among these, over 26,000 DEGs and 220,000 DARs were identified in RA versus HV (false discovery rate <0.05) across the 24 immune cell subsets. DEGs were identified in all immune cell subsets tested and were most pronounced in natural killer (NK) subsets; most DARs were detected in myeloid and NK subsets. ssGSEA revealed differential pathway signaling in RA versus HV across multiple functions at the immune cell subset level. Myeloid subsets from pts with RA often showed elevated pathway activities versus HV whereas B, T and NK subsets showed a general decrease. In particular, monocyte populations from pts with RA versus HV had elevated pathway activities involved in inflammatory response and interleukin-6/Janus kinase/signal transducer and activator of transcription 3 signaling. The B, T and NK subsets showed a general decrease in tumor necrosis factor-α signaling; conversely, monocyte subsets showed an increase. Prior MTX exposure did not have a notable impact on the detected molecular profile.Conclusion:Differences in gene expression, hallmark pathway activity, and chromatin accessibility were identified in RA versus HV at the immune cell subset level. Significant contributions to differences in chromatin accessibility identified in the myeloid and NK cell populations suggest that there are more active regulatory sequences in these cell types that are associated with RA. Further investigations based on these findings may increase understanding of the immune regulatory paradigm in the context of RA.Acknowledgments:This study was funded by Gilead Sciences, Inc. Editorial support was provided by Fishawack Communications Inc and funded by Gilead Sciences, Inc.Disclosure of Interests:Peter C. Taylor Grant/research support from: Celgene, Eli Lilly and Company, Galapagos, and Gilead, Consultant of: AbbVie, Biogen, Eli Lilly and Company, Fresenius, Galapagos, Gilead, GlaxoSmithKline, Janssen, Nordic Pharma, Pfizer Roche, and UCB, Jinfeng Liu Shareholder of: Gilead Sciences Inc., Roche, Employee of: Gilead Sciences Inc., Luting Zhuo Employee of: Gilead Sciences Inc., Yuan Tian Employee of: Gilead Sciences Inc., Thomas Snyder Employee of: Verily Life Sciences, Charlie Kim Employee of: Verily Life Sciences, Pouya Kheradpour Employee of: Verily Life Sciences, Kat Drake Employee of: Verily Life Sciences, Sam Kim Shareholder of: Gilead Sciences Inc., Employee of: Gilead Sciences Inc., Rachael E. Hawtin Shareholder of: Gilead Sciences Inc., Employee of: Gilead Sciences Inc.


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