کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5688303 | 1409897 | 2017 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A composite score associated with spontaneous operational tolerance in kidney transplant recipients
ترجمه فارسی عنوان
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کلمات کلیدی
بیومارکر، بیان ژن، زنده ماندن تحمل عملیاتی، پیوند کلیه،
موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
بیماریهای کلیوی
چکیده انگلیسی
New challenges in renal transplantation include using biological information to devise a useful clinical test for discerning high- and low-risk patients for individual therapy and ascertaining the best combination and appropriate dosages of drugs. Based on a 20-gene signature from a microarray meta-analysis performed on 46 operationally tolerant patients and 266 renal transplant recipients with stable function, we applied the sparse Bolasso methodology to identify a minimal and robust combination of six genes and two demographic parameters associated with operational tolerance. This composite score of operational tolerance discriminated operationally tolerant patients with an area under the curve of 0.97 (95% confidence interval 0.94-1.00). The score was not influenced by immunosuppressive treatment, center of origin, donor type, or post-transplant lymphoproliferative disorder history of the patients. This composite score of operational tolerance was significantly associated with both de novo anti-HLA antibodies and tolerance loss. It was validated by quantitative polymerase chain reaction using independent samples and demonstrated specificity toward a model of tolerance induction. Thus, our score would allow clinicians to improve follow-up of patients, paving the way for individual therapy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Kidney International - Volume 91, Issue 6, June 2017, Pages 1473-1481
Journal: Kidney International - Volume 91, Issue 6, June 2017, Pages 1473-1481
نویسندگان
Richard Danger, Mélanie Chesneau, Chloé Paul, Pierrick Guérif, Maxim Durand, Kenneth A. Newell, Sai Kanaparthi, Laurence A. Turka, Jean-Paul Soulillou, Rémi Houlgatte, Magali Giral, Gérard Ramstein, Sophie Brouard,