Title |
JAK inhibitor has the amelioration effect in lupus-prone mice: the involvement of IFN signature gene downregulation
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Published in |
BMC Immunology, August 2017
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DOI | 10.1186/s12865-017-0225-9 |
Pubmed ID | |
Authors |
Keigo Ikeda, Kunihiro Hayakawa, Maki Fujishiro, Mikiko Kawasaki, Takuya Hirai, Hiroshi Tsushima, Tomoko Miyashita, Satoshi Suzuki, Shinji Morimoto, Naoto Tamura, Kenji Takamori, Hideoki Ogawa, Iwao Sekigawa |
Abstract |
We previously reported that JAK-STAT-pathway mediated regulation of IFN-regulatory factor genes could play an important role in SLE pathogenesis. Here, we evaluated the efficacy of the JAK inhibitor tofacitinib (TOFA) for controlling IFN signalling via the JAK-STAT pathway and as a therapeutic for SLE. We treated NZB/NZW F1 mice with TOFA and assessed alterations in their disease, pathological, and immunological conditions. Gene-expression results obtained from CD4(+) T cells (SLE mice) and CD3(+) T cells (human SLE patients) were measured by DNA microarray and qRT-PCR. TOFA treatment resulted in reduced levels of anti-dsDNA antibodies, decreased proteinuria, and amelioration of nephritis as compared with those observed in control animals. Moreover, we observed the rebalance in the populations of naïve CD4(+) T cells and effector/memory cells in TOFA-treated mice; however, treatment with a combination of TOFA and dexamethasone (DEXA) elicited a stronger inhibitory effect toward the effector/memory cells than did TOFA or DEXA monotherapy. We also detected decreased expression of several IFN-signature genes Ifit3 and Isg15 in CD4(+) from SLE-prone mice following TOFA and DEXA treatment, and IFIT3 in CD3(+) T cells from human patients following immunosuppressant therapy including steroid, respectively. Modulation of type I IFN signalling via JAK-STAT inhibition may exert a beneficial effect in SLE patients, and our results suggest that TOFA could be utilised for the development of new SLE-specific therapeutic strategies. |
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Country | Count | As % |
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Kenya | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
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Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 9 | 20% |
Researcher | 6 | 13% |
Student > Ph. D. Student | 5 | 11% |
Student > Bachelor | 4 | 9% |
Student > Postgraduate | 4 | 9% |
Other | 9 | 20% |
Unknown | 9 | 20% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 7 | 15% |
Immunology and Microbiology | 7 | 15% |
Agricultural and Biological Sciences | 4 | 9% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Other | 5 | 11% |
Unknown | 11 | 24% |