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1.
J Mol Med (Berl) ; 96(8): 819-829, 2018 08.
Article in English | MEDLINE | ID: mdl-29959474

ABSTRACT

IL-17A and IL-17F share the highest sequence homology of the IL-17 family and signal via the same IL-17RA/RC receptor heterodimer. To better explore the expression of these two cytokines, we used a double reporter mouse strain (IL-17DR mice), where IL-17A expressing cells are marked by enhanced green fluorescent protein (eGFP) while red fluorescence protein (RFP) reports the expression of IL-17F. In steady state, we found that Th17 and γδ T cells only expressed IL-17A, while IL-17F expression was restricted to CD8 T cells (Tc17) and innate lymphoid cells (ILC type 3) of the gut. In experimental autoimmune encephalomyelitis, the vast majority of CNS-infiltrating Th17 cells expressed IL-17A but not IL-17F. In contrast, anti-CD3-induced, TGF-ß-driven Th17 cells in the gut expressed both of these IL-17 cytokines. In line with this, in vitro differentiation of Th17 cells in the presence of IL-1ß led primarily to IL-17A expressing T cells, while TGF-ß induced IL-17F co-expressing Th17 cells. Our results suggest that expression of IL-17F is associated with non-pathogenic T cells, pointing to a differential function of IL-17A versus IL-17F. KEY MESSAGES: Naïve mice: CD4+ T cells and γδ T cells express IL-17A, and Tc17 cells express IL-17F. Gut ILC3 show differential expression of IL17A and F. Th17 differentiation with TGF-ß1 induces IL-17A and F, whereas IL-1ß induced cells expressing IL-17A. Th17 cells in EAE in CNS express IL-17A only. Gut Th17 cells induced by anti-CD3 express IL-17A and F together as skin γδ T cells of IMQ-treated mice.


Subject(s)
Gene Expression , Interleukin-17/genetics , Th17 Cells/metabolism , Animals , Biomarkers , Cell Differentiation/immunology , Disease Susceptibility , Encephalomyelitis, Autoimmune, Experimental , Immunophenotyping , Interleukin-17/metabolism , Intestinal Mucosa/immunology , Intestinal Mucosa/metabolism , Intestinal Mucosa/pathology , Mice , Mice, Transgenic , T-Lymphocyte Subsets/immunology , T-Lymphocyte Subsets/metabolism , Th17 Cells/cytology , Th17 Cells/immunology
2.
PLoS One ; 6(10): e23666, 2011.
Article in English | MEDLINE | ID: mdl-21984891

ABSTRACT

Niemann-Pick Disease, type C (NPC) is a fatal, neurodegenerative, lysosomal storage disorder. It is a rare disease with broad phenotypic spectrum and variable age of onset. These issues make it difficult to develop a universally accepted clinical outcome measure to assess urgently needed therapies. To this end, clinical investigators have defined emerging, disease severity scales. The average time from initial symptom to diagnosis is approximately 4 years. Further, some patients may not travel to specialized clinical centers even after diagnosis. We were therefore interested in investigating whether appropriately trained, community-based assessment of patient records could assist in defining disease progression using clinical severity scores. In this study we evolved a secure, step wise process to show that pre-existing medical records may be correctly assessed by non-clinical practitioners trained to quantify disease progression. Sixty-four undergraduate students at the University of Notre Dame were expertly trained in clinical disease assessment and recognition of major and minor symptoms of NPC. Seven clinical records, randomly selected from a total of thirty seven used to establish a leading clinical severity scale, were correctly assessed to show expected characteristics of linear disease progression. Student assessment of two new records donated by NPC families to our study also revealed linear progression of disease, but both showed accelerated disease progression, relative to the current severity scale, especially at the later stages. Together, these data suggest that college students may be trained in assessment of patient records, and thus provide insight into the natural history of a disease.


Subject(s)
Aptitude , Disease Progression , Education, Medical, Undergraduate , Educational Measurement , Niemann-Pick Disease, Type C/diagnosis , Niemann-Pick Disease, Type C/pathology , Students , Humans , Medical Records , Seasons , Severity of Illness Index
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