Title |
Long-term immune reconstitution and T cell repertoire analysis after autologous hematopoietic stem cell transplantation in systemic sclerosis patients
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Published in |
Journal of Hematology & Oncology, January 2017
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DOI | 10.1186/s13045-016-0388-5 |
Pubmed ID | |
Authors |
Dominique Farge, Lucas C. M. Arruda, Fanny Brigant, Emmanuel Clave, Corinne Douay, Zora Marjanovic, Christophe Deligny, Guitta Maki, Eliane Gluckman, Antoine Toubert, Helene Moins-Teisserenc |
Abstract |
The determinants of clinical responses after autologous hematopoietic stem cell transplantation (aHSCT) in systemic sclerosis (SSc) are still unraveled. We analyzed long-term immune reconstitution (IR) and T cell receptor (TCR) repertoire diversity in 10 SSc patients, with at least 6 years simultaneous clinical and immunological follow-up after aHSCT. Patients were retrospectively classified as long-term responders (A, n = 5) or non-responders (B, n = 5), using modified Rodnan's skin score (mRSS) and forced vital capacity (FVC%). All patients had similar severe SSc before aHSCT. Number of reinjected CD34(+) cells was higher in group B versus A (P = 0.02). Long-term mRSS fall >25% was more pronounced in group A (P = 0.004), the only to improve long-term FVC% >10% (P = 0.026). There was an overall trend toward increased of T cell reconstitution in group B versus A. B cells had a positive linear regression slope in group A (LRS = 11.1) and negative in group B (LRS = -11.6). TCR repertoire was disturbed before aHSCT and the percentage of polyclonal families significantly increased at long-term (P = 0.046), with no difference between groups. Despite improved skin score after aHSCT in all SSc patients, pretransplant B cell clonal expansion and faster post-transplant T cell IR in long-term non-responder/relapsing patients call for new therapeutic protocols guided by IR analysis to improve their outcome. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Russia | 1 | 2% |
Unknown | 53 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 10 | 19% |
Researcher | 8 | 15% |
Student > Ph. D. Student | 6 | 11% |
Other | 4 | 7% |
Student > Master | 4 | 7% |
Other | 7 | 13% |
Unknown | 15 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 31% |
Immunology and Microbiology | 10 | 19% |
Agricultural and Biological Sciences | 4 | 7% |
Biochemistry, Genetics and Molecular Biology | 3 | 6% |
Nursing and Health Professions | 1 | 2% |
Other | 2 | 4% |
Unknown | 17 | 31% |