Omics Biomarkers for Prediction of Rejection-A Thermometer for Alloimmune Activation
- PMID: 34284419
- DOI: 10.1097/TP.0000000000003896
Omics Biomarkers for Prediction of Rejection-A Thermometer for Alloimmune Activation
Conflict of interest statement
The authors declare no funding or conflicts of interest.
Comment on
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Prediction of Liver Transplant Rejection With a Biologically Relevant Gene Expression Signature.Transplantation. 2022 May 1;106(5):1004-1011. doi: 10.1097/TP.0000000000003895. Epub 2021 Jul 22. Transplantation. 2022. PMID: 34342962 Free PMC article.
References
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- Levitsky J, Kandpal M, Guo K, et al. Prediction of liver transplant rejection with a biologically relevant gene expression signature. Transplantation. [Epub ahead of print. July 22, 2021]. doi:10.1097/TP.0000000000003895 - DOI
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- Feng S, Bucuvalas JC, Mazariegos GV, et al. Efficacy and safety of immunosuppression withdrawal in pediatric liver transplant recipients: moving toward personalized management. Hepatology. 2021;73:1985–2004.
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- Benítez C, Londoño M-C, Miquel R, et al. Prospective multicenter clinical trial of immunosuppressive drug withdrawal in stable adult liver transplant recipients. Hepatology. 2013;58:1824–1835.
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- Shaked A, DesMarais MR, Kopetskie H, et al. Outcomes of immunosuppression minimization and withdrawal early after liver transplantation. Am J Transplant. 2019;19:1397–1409.
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- Vionnet J, Sánchez-Fueyo A. Biomarkers of immune tolerance in liver transplantation. Hum Immunol. 2018;79:388–394.
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