The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A CD8+ T cell transcription signature predicts prognosis in autoimmune disease
Open accessAbstract
Autoimmune diseases are common and debilitating, but their severe manifestations could be reduced if biomarkers were available to allow individual tailoring of potentially toxic immunosuppressive therapy. Gene expression–based biomarkers facilitating such tailoring of chemotherapy in cancer, but not autoimmunity, have been identified and translated into clinical practice. We show that transcriptional profiling of purified CD8+ T cells, which avoids the confounding influences of unseparated cells, identifies two distinct subject subgroups predicting long-term prognosis in two autoimmune diseases, antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV), a chronic, severe disease characterized by inflammation of medium-sized and small blood vessels, and systemic lupus erythematosus (SLE), characterized by autoantibodies, immune complex deposition and diverse clinical manifestations ranging from glomerulonephritis to neurological dysfunction. We show that the subset of genes defining the poor prognostic group is enriched for genes involved in the interleukin-7 receptor (IL-7R) pathway and T cell receptor (TCR) signaling and those expressed by memory T cells. Furthermore, the poor prognostic group is associated with an expanded CD8+ T cell memory population. These subgroups, which are also found in the normal population and can be identified by measuring expression of only three genes, raise the prospect of individualized therapy and suggest new potential therapeutic targets in autoimmunity.
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
Two subsets of memory T lymphocytes with distinct homing potentials and effector functions
Sallusto, F., Lenig, D., Förster, R., Lipp, M., & Lanzavecchia, A. (1999) · Nature · doi:10.1038/44385 · Cited by 5,846 · cited 1×
“, but the 'central memory' (CCR7 + CD45RA − ) cells previously describe”
Monti, S., Tamayo, P., Mesirov, J., & Golub, T. (2003) · Machine Learning · doi:10.1023/a:1023949509487 · Cited by 2,116
Gene profiling reveals unknown enhancing and suppressive actions of glucocorticoids on immune cells
Galon, J., Franchimont, D., Hiroi, N., Frey, G., Boettner, A., Ehrhart-Bornstein, M., O’shea, J. J., Chrousos, G. P., & Bornstein, S. R. (2002) · The FASEB Journal · doi:10.1096/fj.01-0245com · Cited by 606 · cited 1×
“nor of genes known to alter expression in response to corticosteroid therap”
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T-cell exhaustion, co-stimulation and clinical outcome in autoimmunity and infection
McKinney, E. F., Lee, J. C., Jayne, D. R. W., Lyons, P. A., & Smith, K. G. C. (2015) · Nature · doi:10.1038/nature14468 · Cited by 685
Self-citationLee, J. C., Lyons, P. A., McKinney, E. F., Sowerby, J. M., Carr, E. J., Bredin, F., Rickman, H. M., Ratlamwala, H., Hatton, A., Rayner, T. F., et al. (2011) · Journal of Clinical Investigation · doi:10.1172/jci59255 · Cited by 304
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Metadata
- Authors
- McKinney, E. F., Lyons, P. A., Carr, E. J., Hollis, J. L., Jayne, D. R. W., Willcocks, L. C., Koukoulaki, M., Brazma, A., Jovanovic, V., Kemeny, D. M., Pollard, A. J., MacAry, P. A., Chaudhry, A. N., & Smith, K. G. C.
- Venue
- Nature Medicine
- Published
- 2010-04-18
- Volume
- 16
- Issue
- 5
- Pages
- 586-591
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2092644774
- Cited by
- 370
- References
- 5
- FWCI
- 18.47
- Type
- journal article
- Language
- en
- Open access
- green
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