| Literature DB >> 28242033 |
Richard Danger1, Mélanie Chesneau1, Chloé Paul1, Pierrick Guérif1, Maxim Durand1, Kenneth A Newell2, Sai Kanaparthi3, Laurence A Turka4, Jean-Paul Soulillou1, Rémi Houlgatte5, Magali Giral6, Gérard Ramstein7, Sophie Brouard8.
Abstract
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.Entities:
Keywords: biomarker; gene expression; graft survival; operational tolerance; renal transplantation
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Year: 2017 PMID: 28242033 PMCID: PMC5432017 DOI: 10.1016/j.kint.2016.12.020
Source DB: PubMed Journal: Kidney Int ISSN: 0085-2538 Impact factor: 10.612