The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Human autoimmune diseases: a comprehensive update
Abstract
There have been significant advances in our understanding of human autoimmunity that have led to improvements in classification and diagnosis and, most importantly, research advances in new therapies. The importance of autoimmunity and the mechanisms that lead to clinical disease were first recognized about 50 years ago following the pioneering studies of Macfarlane Burnett and his Nobel Prize‐winning hypothesis of the ‘forbidden clone’. Such pioneering efforts led to a better understanding not only of autoimmunity, but also of lymphoid cell development, thymic education, apoptosis and deletion of autoreactive cells. Contemporary theories suggest that the development of an autoimmune disease requires a genetic predisposition and environmental factors that trigger the immune pathways that lead, ultimately, to tissue destruction. Despite extensive research, there are no genetic tools that can be used clinically to predict the risk of autoimmune disease. Indeed, the concordance of autoimmune disease in identical twins is 12–67%, highlighting not only a role for environmental factors, but also the potential importance of stochastic or epigenetic phenomena. On the other hand, the identification of cytokines and chemokines, and their cognate receptors, has led to novel therapies that block pathological inflammatory responses within the target organ and have greatly improved the therapeutic effect in patients with autoimmune disease, particularly rheumatoid arthritis. Further advances involving the use of multiplex platforms for diagnosis and identification of new therapeutic agents should lead to major breakthroughs within the next decade.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria
Polman, C. H., Reingold, S. C., Banwell, B., Clanet, M., Cohen, J. A., Filippi, M., Fujihara, K., Havrdova, E., Hutchinson, M., Kappos, L., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22366 · Cited by 9,802
The Pathogenesis of Rheumatoid Arthritis
McInnes, I. B., & Schett, G. (2011) · New England Journal of Medicine · doi:10.1056/nejmra1004965 · Cited by 5,514
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s062 · Cited by 5,491
Petri, M., Orbai, A., Alarcón, G. S., Gordon, C., Merrill, J. T., Fortin, P. R., Bruce, I. N., Isenberg, D., Wallace, D. J., Nived, O., et al. (2012) · Arthritis & Rheumatism · doi:10.1002/art.34473 · Cited by 5,322
Hay fever, hygiene, and household size.
Strachan, D. P. (1989) · BMJ · doi:10.1136/bmj.299.6710.1259 · Cited by 5,054
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
Sakaguchi, S. (2005) · Nature Immunology · doi:10.1038/ni1178 · Cited by 2,669
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
Simplified criteria for the diagnosis of autoimmune hepatitis
Hennes, E. M., Zeniya, M., Czaja, A. J., Parés, A., Dalekos, G. N., Krawitt, E. L., Bittencourt, P. L., Porta, G., Boberg, K. M., Hofer, H., et al. (2008) · Hepatology · doi:10.1002/hep.22322 · Cited by 1,901
Epidemiology and estimated population burden of selected autoimmune diseases in the United States
Jacobson, D. L., Gange, S. J., Rose, N. R., & Graham, N. M. H. (1997) · Clinical Immunology and Immunopathology · doi:10.1006/clin.1997.4412 · Cited by 1,667
Cited by
Subcutaneous Administration of Biotherapeutics: An Overview of Current Challenges and Opportunities
Bittner, B., Richter, W., & Schmidt, J. (2018) · BioDrugs · doi:10.1007/s40259-018-0295-0 · Cited by 447
Kinase inhibition in autoimmunity and inflammation
Zarrin, A. A., Bao, K., Lupardus, P., & Vucic, D. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0082-8 · Cited by 431
Kim, C. H. (2023) · Cellular & Molecular Immunology · doi:10.1038/s41423-023-00987-1 · Cited by 420
Targeted protein degradation: advances in drug discovery and clinical practice
Zhong, G., Chang, X., Xie, W., & Zhou, X. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02004-x · Cited by 326
High intelligence: A risk factor for psychological and physiological overexcitabilities
Karpinski, R. I., Kinase Kolb, A. M., Tetreault, N. A., & Borowski, T. B. (2018) · Intelligence · doi:10.1016/j.intell.2017.09.001 · Cited by 217
Metadata
- Authors
- Wang, L., Wang, F., & Gershwin, M. E.
- Venue
- Journal of Internal Medicine
- Publisher
- Wiley
- Published
- 2015-07-25
- Volume
- 278
- Issue
- 4
- Pages
- 369-395
- ISSN
- 0954-6820 (ISSN-L)
- 1365-2796
- OpenAlex
- W1540298277
- Cited by
- 1,168
- References
- 18
- FWCI
- 8.66
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Human autoimmune diseases: a comprehensive update. https://app.cochat.ai/papers/10.1111/joim.12395
- The paper
- Wang, L., Wang, F., & Gershwin, M. E. (2015). Human autoimmune diseases: a comprehensive update. Journal of Internal Medicine. https://doi.org/10.1111/joim.12395
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.