The DOI matches its Crossref record; 298 of the 298 references it cites were found in a registry or an index.
B cell depletion therapies in autoimmune disease: advances and mechanistic insights
Open accessAbstract
In the past 15 years, B cells have been rediscovered to be not merely bystanders but rather active participants in autoimmune aetiology. This has been fuelled in part by the clinical success of B cell depletion therapies (BCDTs). Originally conceived as a method of eliminating cancerous B cells, BCDTs such as those targeting CD20, CD19 and BAFF are now used to treat autoimmune diseases, including systemic lupus erythematosus and multiple sclerosis. The use of BCDTs in autoimmune disease has led to some surprises. For example, although antibody-secreting plasma cells are thought to have a negative pathogenic role in autoimmune disease, BCDT, even when it controls the disease, has limited impact on these cells and on antibody levels. In this Review, we update our understanding of B cell biology, review the results of clinical trials using BCDT in autoimmune indications, discuss hypotheses for the mechanism of action of BCDT and speculate on evolving strategies for targeting B cells beyond depletion. Examining B cell depletion therapy (BCDT), an approved treatment for B cell malignancies, in autoimmune conditions has provided key insights into basic B cell biology. In this Review, Gommerman and colleagues discuss BCDT in autoimmune conditions, highlighting diseases in which BCDT has been clinically effective and the potential and pitfalls for BCDT in autoimmune conditions in which it has not yet been efficacious.
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Chimeric Antigen Receptor T Cells for Sustained Remissions in Leukemia
Maude, S. L., Frey, N., Shaw, P. A., Aplenc, R., Barrett, D. M., Bunin, N. J., Chew, A., Gonzalez, V. E., Zheng, Z., Lacey, S. F., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1407222 · Cited by 5,413
New Multiple Sclerosis Phenotypic Classification
Lublin, F. D. (2014) · European Neurology · doi:10.1159/000367614 · Cited by 4,259
Anti-NMDA-receptor encephalitis: case series and analysis of the effects of antibodies
Dalmau, J., Gleichman, A. J., Hughes, E. G., Rossi, J. E., Peng, X., Lai, M., Dessain, S. K., Rosenfeld, M. R., Balice-Gordon, R., & Lynch, D. R. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70224-2 · Cited by 3,488
A Randomized, Placebo-Controlled Trial of Natalizumab for Relapsing Multiple Sclerosis
Polman, C. H., O'Connor, P. W., Havrdova, E., Hutchinson, M., Kappos, L., Miller, D. H., Phillips, J. T., Lublin, F. D., Giovannoni, G., Wajgt, A., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa044397 · Cited by 3,386
A serum autoantibody marker of neuromyelitis optica: distinction from multiple sclerosis
Lennon, V. A., Wingerchuk, D. M., Kryzer, T. J., Pittock, S. J., Lucchinetti, C. F., Fujihara, K., Nakashima, I., & Weinshenker, B. G. (2004) · The Lancet · doi:10.1016/s0140-6736(04)17551-x · Cited by 3,239
Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
The International Multiple Sclerosis Genetics Consortium & The Wellcome Trust Case Control Consortium 2 (2011) · Nature · doi:10.1038/nature10251 · Cited by 2,697
A Placebo-Controlled Trial of Oral Fingolimod in Relapsing Multiple Sclerosis
Kappos, L., Radue, E.-W., O'Connor, P., Polman, C., Hohlfeld, R., Calabresi, P., Selmaj, K., Agoropoulou, C., Leyk, M., Zhang-Auberson, L., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0909494 · Cited by 2,644
Efficacy of B-cell-targeted therapy with rituximab in patients with rheumatoid arthritis
Edwards, J. C. W., Szczepański, L., Szechiński, J., Filipowicz-Sosnowska, A., Emery, P., Close, D. R., Stevens, R. M., & Shaw, T. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa032534 · Cited by 2,623
B-cell depletion with rituximab in relapsing-remitting multiple sclerosis
Hauser, S. L., Waubant, E., Arnold, D. L., Vollmer, T., Antel, J., Fox, R. J., Bar-Or, A., Panzara, M., Sarkar, N., Agarwal, S., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0706383 · Cited by 2,439
The spectrum of neuromyelitis optica
Wingerchuk, D. M., Lennon, V. A., Lucchinetti, C. F., Pittock, S. J., & Weinshenker, B. G. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70216-8 · Cited by 2,179
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Metadata
- Authors
- Lee, D. S. W., Rojas, O. L., & Gommerman, J. L.
- Venue
- Nature Reviews Drug Discovery
- Published
- 2020-12-15
- Volume
- 20
- Issue
- 3
- Pages
- 179-199
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- OpenAlex
- W3111529194
- Cited by
- 658
- References
- 298
- FWCI
- 5.58
- Type
- journal article
- Language
- en
- Open access
- bronze
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