The DOI matches its Crossref record; 398 of the 398 references it cites were found in a registry or an index.
Pathogenesis of Systemic Sclerosis
Open accessAbstract
Systemic scleroderma (SSc) is one of the most complex systemic autoimmune diseases. It targets the vasculature, connective tissue-producing cells (namely fibroblasts/myofibroblasts), and components of the innate and adaptive immune systems. Clinical and pathologic manifestations of SSc are the result of: (1) innate/adaptive immune system abnormalities leading to production of autoantibodies and cell-mediated autoimmunity, (2) microvascular endothelial cell/small vessel fibroproliferative vasculopathy, and (3) fibroblast dysfunction generating excessive accumulation of collagen and other matrix components in skin and internal organs. All three of these processes interact and affect each other. The disease is heterogeneous in its clinical presentation that likely reflects different genetic or triggering factor (i.e., infection or environmental toxin) influences on the immune system, vasculature, and connective tissue cells. The roles played by other ubiquitous molecular entities (such as lysophospholipids, endocannabinoids, and their diverse receptors and vitamin D) in influencing the immune system, vasculature, and connective tissue cells are just beginning to be realized and studied and may provide insights into new therapeutic approaches to treat SSc.
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1 retracted
Lenna, S., Townsend, D. M., Tan, F. K., Kapanadze, B., Markiewicz, M., Trojanowska, M., & Scorza, R. (2010) · The Journal of Immunology · doi:10.4049/jimmunol.0903188 · Cited by 51
RetractedPathogen Recognition and Innate Immunity
Akira, S., Uematsu, S., & Takeuchi, O. (2006) · Cell · doi:10.1016/j.cell.2006.02.015 · Cited by 11,952
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Akira, S., & Takeda, K. (2004) · Nature reviews. Immunology · doi:10.1038/nri1391 · Cited by 8,312
Defective LPS Signaling in C3H/HeJ and C57BL/10ScCr Mice: Mutations in Tlr4 Gene
Poltorak, A., He, X., Smirnova, I., Liu, M.-Y., Huffel, C. V., Du, X., Birdwell, D., Alejos, E., Silva, M., Galanos, C., et al. (1998) · Science · doi:10.1126/science.282.5396.2085 · Cited by 7,631
van den Hoogen, F., Khanna, D., Fransen, J., Johnson, S. R., Baron, M., Tyndall, A., Matucci‐Cerinic, M., Naden, R. P., Medsger, T. A., Carreira, P. E., et al. (2013) · Arthritis & Rheumatism · doi:10.1002/art.38098 · Cited by 3,409
Roberts, A. B., Sporn, M. B., Assoian, R. K., Smith, J. M., Roche, N. S., Wakefield, L. M., Heine, U. I., Liotta, L. A., Falanga, V, & Kehrl, J. H. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.12.4167 · Cited by 2,866
Ignotz, R. A., & Massagué, J. (1986) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)35666-1 · Cited by 2,492
Innate lymphoid cells — a proposal for uniform nomenclature
Spits, H., Artis, D., Colonna, M., Diefenbach, A., Di Santo, J. P., Eberl, G., Koyasu, S., Locksley, R. M., McKenzie, A. N. J., Mebius, R. E., et al. (2013) · Nature Reviews Immunology · doi:10.1038/nri3365 · Cited by 2,389
Endothelial-to-mesenchymal transition contributes to cardiac fibrosis
Zeisberg, E. M., Tarnavski, O., Zeisberg, M., Dorfman, A. L., McMullen, J. R., Gustafsson, E., Chandraker, A., Yuan, X., Pu, W. T., Roberts, A. B., et al. (2007) · Nature Medicine · doi:10.1038/nm1613 · Cited by 2,222
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Mendoza, F. A., Piera‐Velazquez, S., Farber, J. L., Feghali‐Bostwick, C., & Jiménez, S. A. (2016) · Arthritis & Rheumatology · doi:10.1002/art.39421 · Cited by 121
Ma, J., liu, J., Gao, D., Li, X., Zhang, Q., Lv, L., Wang, Y., Li, J., Zhu, Y., Wu, Z., et al. (2022) · Advanced Science · doi:10.1002/advs.202104192 · Cited by 53
Metadata
- Authors
- Pattanaik, D., Brown, M., Postlethwaite, B. C., & Postlethwaite, A. E.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2015-06-08
- Volume
- 6
- Pages
- 272-272
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W1505701939
- Cited by
- 405
- References
- 398
- FWCI
- 23.63
- Type
- journal article
- Language
- en
- Open access
- gold
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- Pattanaik, D., Brown, M., Postlethwaite, B. C., & Postlethwaite, A. E. (2015). Pathogenesis of Systemic Sclerosis. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2015.00272
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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.